AI Governance & Compliance Summit: Seattle
In today’s rapidly evolving digital economy, artificial intelligence is no longer experimental; it’s operational. The Seattle AI Governance & Strategy Summit brings together the nation’s leading in-house counsel, compliance officers, data and security executives, and technology innovators to explore how organizations are governing AI responsibly while driving business growth. This is where high-level strategy meets real-world execution. Join the conversation on building defensible AI governance frameworks, mitigating legal and contractual risk, safeguarding data and IP, and aligning innovation with accountability across the enterprise.
Designed for professionals at the intersection of law, technology, and risk management, this summit delivers practical insights, benchmarking opportunities, and actionable takeaways to strengthen your organization’s AI oversight. From cross-functional governance and ethical AI practices to global regulatory readiness and vendor accountability, you’ll hear how leading companies are turning compliance into competitive advantage. Whether you oversee legal, data, or innovation strategy, the Seattle AI Governance & Strategy Summit is your opportunity to connect with peers, gain a forward-looking perspective, and lead your company into the next era of responsible AI.
This event is co-located with the IP Strategy Summit, offering participants access to both conferences for a single, full-day experience. Attendees gain the advantage of exploring cutting-edge AI governance strategies alongside the latest in IP innovation and enforcement, expanding perspectives and connections across both domains.
* 5.5 HRS WA CLE
- Cross-Functional AI Governance: Aligning Legal, IT, HR, and the C-Suite
- From Policy to Practice: Building Defensible AI Governance Frameworks
- Mitigating Legal Risk in AI: Contracts, Liability, and Vendor Management
- Data, Privacy & IP in the Age of AI: Safeguarding the Crown Jewels
- Agentic AI: Autonomy, Liability, and Legal Accountability
- AI Litigation Readiness: Bias, Discrimination, and Enforcement Actions
- Ethics Meets Enterprise: Avoiding Reputational and Regulatory Pitfalls
- C-Suite: Including COOs, STOs, CIOs, CSOs…
- Chief IP Counsel
- Chief Information Security Officer
- Chief Legal / Privacy / Data Protection Officer
- VP & Director of IP Strategy
- Chief, Deputy, Associate and/or Assistant General Counsel
- General Counsel
- Privacy / Trademark / Copyright / Patent Counsel
- Head of Litigation
- Director of Business and Legal Affairs
- Director / VP of Intellectual Property / Licensing
- Privacy Compliance Manager
- Information Security Manager
Agenda
AI risk management demands collaboration across every department—from engineering to HR to executive leadership. Effective governance requires shared accountability and unified decision-making frameworks. Aligning business, technical, and legal priorities is key to balancing innovation with responsible oversight.
This panel will explore:
- How cross-functional teams are managing AI oversight across business units.
- Structures that balance innovation with legal and compliance needs.
- The role of leadership buy-in and clear decision rights in effective AI governance.
- Lessons from organizations that have successfully implemented integrated frameworks.
Jennifer Cornely serves as Senior Product and Technology Counsel for Fluke Corporation. She provides legal guidance on product development, intellectual property, technology transactions, and compliance. She closely collaborates with global engineering, marketing, and product development teams to support innovation while ensuring adherence to industry standards and regulatory requirements. Her expertise helps drive Fluke’s mission of delivering reliable, high-quality tools and solutions to professionals worldwide.
Chris Pothering is a Vice President and Associate General Counsel at Expeditors. Prior to that, she was a partner at Short Cressman & Burgess. She has a comprehensive real estate, global procurement and business background with a focus on complex real estate and commercial transactions, and acquisitions. Chris earned her J.D. from the Dickinson Law and B.S. in Economics from the Lewis & Clark College.
As AI adoption accelerates, organizations are challenged to move beyond policies written on paper to frameworks that work in practice. Governance must now be demonstrable, defensible, and integrated into daily decision-making. Companies across industries are redefining accountability, transparency, and oversight as core components of their AI strategy.
This panel will explore:
- How companies are structuring AI governance internally and reporting to executive leadership.
- Benchmarking frameworks and oversight models across industries.
- Actionable steps for turning AI governance policies into real operational workflows.
- Building defensible programs that can adapt to evolving regulation and technology.
As AI systems become embedded in every business function, questions around contractual responsibility, indemnity, and shared risk have intensified. The legal frameworks governing AI vendors are still evolving, leaving many companies exposed to uncertainty. Organizations must now find practical ways to manage liability while enabling innovation and scalability.
This panel will explore:
- Common gaps and risk allocation challenges in AI vendor and partner agreements.
- Practical approaches to liability, indemnity, and service-level terms for AI products.
- How to structure defensible vendor ecosystems that align with compliance expectations.
- Strategies for future-proofing contracts as AI regulation advances.
Shelly is a Legal Counsel for the Trust and Growth team at Docusign, where she counsels on product led growth strategies, and digital marketing initiatives. In her role, she also manages the global trademark portfolio and often advises on issues of brand protection.
Prior to her current role, she served as a Commercial Counsel at Docusign, negotiating a high volume of commercial, technology, and data privacy agreements for the financial services, healthcare and SMB segments of the business.
Shelly earned her primary law degree in India, followed by an LLM in IP and Tech law from University of Washington, Seattle
Dr. Paul A. Maltseff is a highly experienced professional in all aspects of intellectual property creation and management. He graduated as an electronic engineer from Mozhaysky Military Aerospace Engineering Academy (MMAEA), Saint Petersburg, Russia, and received Ph.D. and D.Sc. in applied cybernetics from MMAEA in 1981 and 1989 respectively, and was conferred Juris Doctor from a School of Law, Seattle University in 2005. Until 1992 he had been a professor in MMAEA and a head of laboratory in the National Academy of Sciences of USSR. During 1992-2014, Dr. Maltseff had been involved in R&D projects with Versatron Corp. and Intermec Technologies Corp. on senior engineering positions and as a chief intellectual property counsel. In January of 2014, he joined Datalogic as a chief intellectual property counsel. Dr. Maltseff holds 30 U.S. patents and authored more than 50 publications.
Data is the lifeblood of AI and the primary source of risk. As organizations leverage data to train models and automate decisions, privacy, security, and intellectual l property concerns multiply. Protecting sensitive assets and maintaining trust has become a strategic imperative for every business using AI.
This panel will explore:
- How organizations ensure lawful data use, provenance, and training transparency.
- Methods for protecting trade secrets, IP, and proprietary datasets in AI systems.
- Best practices for embedding privacy and security controls across the AI lifecycle.
- Case studies of effective data governance programs that balance utility and protection.
AI systems capable of independent reasoning and decision-making are redefining accountability in real time. These “agentic” technologies blur the line between tool and actor—challenging existing legal and governance frameworks. As autonomy grows, oversight, explainability, and documentation are becoming essential safeguards for organizations.
This panel will explore:
- The unique risks and accountability gaps posed by autonomous AI systems.
- Frameworks for oversight, auditability, and human-in-the-loop assurance.
- Legal and regulatory developments defining responsibility in agentic AI use.
- Practical strategies to ensure traceability and control in self-directed systems.
Mahesh Ganesamoorthi is a seasoned software engineer and technology leader with over 12 years of experience in the tech industry. Currently a Senior Software Engineer at Expedia, he specializes in building conversational intelligence products and driving innovation in system design. Prior to this, Mahesh worked at Amazon, where he was recognized with multiple awards, including ‘Invent and Simplify’ and ‘Insist on the Highest Standards.’ He also served as a Bar Raiser, ensuring the hiring and development of top talent.
Mahesh holds a Master’s in Computer Science from the University of Southern California and actively contributes to the tech community as an IEEE reviewer, conference paper reviewer, and judge for the Globee Awards for Women in Business. His research interests include A/B testing, automated license plate recognition (ALPR), and generative AI applications.
As AI tools become embedded in employment, financial, and consumer-facing decisions, litigation and enforcement risks are rising fast. Regulators are sharpening their focus on algorithmic bias, transparency, and accountability, while plaintiffs’ attorneys are testing new theories of liability under civil rights and consumer protection laws. Companies must act now to assess exposure, strengthen documentation, and establish defensible governance practices before claims arise.
This panel will explore:
- Real-world litigation and enforcement risks emerging from AI use across sectors.
- Practical steps companies can take to monitor, document, and defend their AI systems.
- Key trends in lawsuits, investigations, and regulatory scrutiny shaping corporate risk.
- How in-house and outside counsel can collaborate to ensure readiness and minimize liability.
Embedding ethics into AI development and deployment is no longer just good practice it’s good business. As public awareness and regulatory scrutiny increase, organizations must ensure their innovation aligns with values of fairness, transparency, and accountability. Strong ethical governance can both mitigate reputational risk and drive sustainable, trusted innovation.
This panel will explore:
- Practical strategies for integrating ethical principles into AI program design.
- Managing reputational risk and public trust in high-profile or sensitive use cases.
- The role of cross-functional review committees and governance boards.
- How transparency and stakeholder engagement can mitigate emerging risks.
Rotating, 20-minute discussions hosted by a topic expert
Roundtable 1: Global AI Regulation: Operationalizing Compliance Under the EU AI Act, U.S. State Laws, and Beyond
Roundtable 2: M&A, Investments, & Corporate Transactions in the Age of AI
Roundtable 3: Boardroom Accountability: AI Governance, Disclosure, and Fiduciary Duties
Roundtable 4: Cross-Border AI Compliance: Managing Global Risk and Diverging Regulations
Speakers
Shelly is a Legal Counsel for the Trust and Growth team at Docusign, where she counsels on product led growth strategies, and digital marketing initiatives. In her role, she also manages the global trademark portfolio and often advises on issues of brand protection.
Prior to her current role, she served as a Commercial Counsel at Docusign, negotiating a high volume of commercial, technology, and data privacy agreements for the financial services, healthcare and SMB segments of the business.
Shelly earned her primary law degree in India, followed by an LLM in IP and Tech law from University of Washington, Seattle
Mahesh Ganesamoorthi is a seasoned software engineer and technology leader with over 12 years of experience in the tech industry. Currently a Senior Software Engineer at Expedia, he specializes in building conversational intelligence products and driving innovation in system design. Prior to this, Mahesh worked at Amazon, where he was recognized with multiple awards, including ‘Invent and Simplify’ and ‘Insist on the Highest Standards.’ He also served as a Bar Raiser, ensuring the hiring and development of top talent.
Mahesh holds a Master’s in Computer Science from the University of Southern California and actively contributes to the tech community as an IEEE reviewer, conference paper reviewer, and judge for the Globee Awards for Women in Business. His research interests include A/B testing, automated license plate recognition (ALPR), and generative AI applications.
Jennifer Cornely serves as Senior Product and Technology Counsel for Fluke Corporation. She provides legal guidance on product development, intellectual property, technology transactions, and compliance. She closely collaborates with global engineering, marketing, and product development teams to support innovation while ensuring adherence to industry standards and regulatory requirements. Her expertise helps drive Fluke’s mission of delivering reliable, high-quality tools and solutions to professionals worldwide.
Chris Pothering is a Vice President and Associate General Counsel at Expeditors. Prior to that, she was a partner at Short Cressman & Burgess. She has a comprehensive real estate, global procurement and business background with a focus on complex real estate and commercial transactions, and acquisitions. Chris earned her J.D. from the Dickinson Law and B.S. in Economics from the Lewis & Clark College.
Dr. Paul A. Maltseff is a highly experienced professional in all aspects of intellectual property creation and management. He graduated as an electronic engineer from Mozhaysky Military Aerospace Engineering Academy (MMAEA), Saint Petersburg, Russia, and received Ph.D. and D.Sc. in applied cybernetics from MMAEA in 1981 and 1989 respectively, and was conferred Juris Doctor from a School of Law, Seattle University in 2005. Until 1992 he had been a professor in MMAEA and a head of laboratory in the National Academy of Sciences of USSR. During 1992-2014, Dr. Maltseff had been involved in R&D projects with Versatron Corp. and Intermec Technologies Corp. on senior engineering positions and as a chief intellectual property counsel. In January of 2014, he joined Datalogic as a chief intellectual property counsel. Dr. Maltseff holds 30 U.S. patents and authored more than 50 publications.
Venue
Venue TBA
Seattle, Washington
Pricing
| Register By | In House Counsel | Law Firms & Vendors |
|---|---|---|
| Complimentary Passes While they Last! | $0.00 | Contact info@centerforceusa.com |
| February 25, 2025 | $395.00 | Contact info@centerforceusa.com |
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